LECO?s patented ChromaTOF software provides a one-stop software package for a fully automated instrument solution from sample introduction, data acquisition, True Signal Deconvolution (TSD) to analyte quantification and report generation.
From the beginning, LECO’s ChromaTOF® software was developed to provide operators with a comprehensive software tool for a fully automated instrument along with a comprehensive data processing solution. Through continuous development, new features of ChromaTOF® include Statistical Compare, Personalised Operator Workspaces, Peak Labelling and Adaptive Peak Integration for GCxGC data, Scripting and much more.
LECO’s Statistical Compare feature allows users to perform statistical comparisons from groups of different data samples. Samples are divided into subsets or classes, aligned, then statistical information on various peak properties are presented in the Compound table. The software also calculates a measure of variance and Fisher Ratios can be viewed for every analyte. A Fisher ratio is a statistical calculation that can be used to discover the unknown chemical differences among classes of complex samples.
The LECO/Fiehn Metabolomics Library, when combined with the new Statistical Compare feature in ChromaTOF® becomes the perfect tool for metabolite identification. Over 1,100 spectra of 700 unique metabolites are contained in the library, along with retention indices based on a series of fatty acid methyl esters. The library is fully integrated and works seamlessly without importing or exporting data. Developed through a unique partnership with Dr. Oliver Fiehn, this extensive and expandable library was created using a LECO Pegasus® GC–TOFMS at Dr. Fiehn's own laboratory at the University of California-Davis.
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GC–TOF-MS Finds 250 Volatile Compounds in E-Cigarette Liquids
November 1st 2024A study has used gas chromatography coupled to a time-of-flight mass spectrometer to build an electron ionization mass spectra database of more than 250 chemicals classified as either volatile or semi-volatile compounds. An additional, confirmatory layer of liquid chromatography–mass spectrometry analysis was subsequently performed.
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
Multivariate Design of Experiments for Gas Chromatographic Analysis
November 1st 2024Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation and can be useful for method development in gas chromatography.